Telegram: Ipcam

if motion_score > MOTION_THRESHOLD: print(f"[!] Motion detected! Score: {motion_score}") cv2.imwrite("alert.jpg", frame2) send_photo("alert.jpg") sleep(10) # Cooldown to avoid spam

Run the script:

import requests import cv2 import numpy as np from time import sleep CAMERA_URL = "http://192.168.1.100/photo.jpg" # Your snapshot URL BOT_TOKEN = "7236456789:AAHdqTcvCH1vGWJxfSeofSAs0K5PALDsaw" CHAT_ID = "123456789" MOTION_THRESHOLD = 500 # Lower = more sensitive CHECK_INTERVAL = 2 # Seconds between checks ========================= def send_photo(image_path): url = f"https://api.telegram.org/bot{BOT_TOKEN}/sendPhoto" with open(image_path, 'rb') as img: files = {'photo': img} data = {'chat_id': CHAT_ID, 'caption': '🚨 Motion Detected!'} requests.post(url, files=files, data=data) ipcam telegram

pip install python-telegram-bot requests opencv-python Save this as security_cam.py . Replace the variables (URL, TOKEN, CHAT_ID).

def get_frame(): response = requests.get(CAMERA_URL, auth=('username', 'password')) # Remove auth if none return cv2.imdecode(np.frombuffer(response.content, np.uint8), -1) print("[+] Security camera active. Watching via Telegram...") ret, frame1 = get_frame(), None sleep(1) if motion_score > MOTION_THRESHOLD: print(f"[

while True: frame2 = get_frame() if frame2 is None: continue

Happy building! 📸🔒 Disclaimer: Use this for monitoring your own property only. Be aware of local privacy laws regarding recording. def get_frame(): response = requests

# Motion detection logic diff = cv2.absdiff(frame1, frame2) gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY) blur = cv2.GaussianBlur(gray, (5,5), 0) _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY) motion_score = cv2.countNonZero(thresh)

We all have an old smartphone or a dusty IP camera sitting in a drawer. Instead of buying a expensive cloud subscription (like Ring or Nest), you can turn that camera into a real-time security alert system using a free bot on Telegram .